Merging PR_218 openai_rev package with new streamlit chat app

venv/lib/python3.9/site-packages/altair/examples/dot_dash_plot.py

@@ -0,0 +1,40 @@
+"""
+Dot Dash Plot
+=============
+How to make the dot-dash plot presented in Edward Tufte's `Visual Display of Quantitative Information <https://www.edwardtufte.com/tufte/books_vdqi>`_. Based
+on a JavaScript implementation by `g3o2 <https://bl.ocks.org/g3o2/bd4362574137061c243a2994ba648fb8>`_.
+"""
+# category: scatter plots
+import altair as alt
+from vega_datasets import data
+
+source = data.cars()
+
+# Configure the options common to all layers
+brush = alt.selection(type='interval')
+base = alt.Chart(source).add_selection(brush)
+
+# Configure the points
+points = base.mark_point().encode(
+    x=alt.X('Miles_per_Gallon', title=''),
+    y=alt.Y('Horsepower', title=''),
+    color=alt.condition(brush, 'Origin', alt.value('grey'))
+)
+
+# Configure the ticks
+tick_axis = alt.Axis(labels=False, domain=False, ticks=False)
+
+x_ticks = base.mark_tick().encode(
+    alt.X('Miles_per_Gallon', axis=tick_axis),
+    alt.Y('Origin', title='', axis=tick_axis),
+    color=alt.condition(brush, 'Origin', alt.value('lightgrey'))
+)
+
+y_ticks = base.mark_tick().encode(
+    alt.X('Origin', title='', axis=tick_axis),
+    alt.Y('Horsepower', axis=tick_axis),
+    color=alt.condition(brush, 'Origin', alt.value('lightgrey'))
+)
+
+# Build the chart
+y_ticks | (points & x_ticks)